{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 单用户预测测试（202106030258GF）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(200, 6, 18) (200,)\n",
      "Train on 160 samples, validate on 40 samples\n",
      "Epoch 1/200\n",
      "160/160 [==============================] - 1s 8ms/sample - loss: 0.1571 - val_loss: 0.0870\n",
      "Epoch 2/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.1516 - val_loss: 0.0802\n",
      "Epoch 3/200\n",
      "160/160 [==============================] - 0s 488us/sample - loss: 0.1388 - val_loss: 0.0683\n",
      "Epoch 4/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.1183 - val_loss: 0.0614\n",
      "Epoch 5/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.1105 - val_loss: 0.0554\n",
      "Epoch 6/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0974 - val_loss: 0.0499\n",
      "Epoch 7/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0923 - val_loss: 0.0433\n",
      "Epoch 8/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0854 - val_loss: 0.0373\n",
      "Epoch 9/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0854 - val_loss: 0.0336\n",
      "Epoch 10/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0752 - val_loss: 0.0308\n",
      "Epoch 11/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0708 - val_loss: 0.0286\n",
      "Epoch 12/200\n",
      "160/160 [==============================] - 0s 444us/sample - loss: 0.0697 - val_loss: 0.0265\n",
      "Epoch 13/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0657 - val_loss: 0.0241\n",
      "Epoch 14/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0618 - val_loss: 0.0221\n",
      "Epoch 15/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0618 - val_loss: 0.0209\n",
      "Epoch 16/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0561 - val_loss: 0.0184\n",
      "Epoch 17/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0579 - val_loss: 0.0179\n",
      "Epoch 18/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0509 - val_loss: 0.0186\n",
      "Epoch 19/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0507 - val_loss: 0.0190\n",
      "Epoch 20/200\n",
      "160/160 [==============================] - 0s 488us/sample - loss: 0.0491 - val_loss: 0.0167\n",
      "Epoch 21/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0486 - val_loss: 0.0152\n",
      "Epoch 22/200\n",
      "160/160 [==============================] - 0s 488us/sample - loss: 0.0447 - val_loss: 0.0150\n",
      "Epoch 23/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0468 - val_loss: 0.0153\n",
      "Epoch 24/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0400 - val_loss: 0.0154\n",
      "Epoch 25/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0436 - val_loss: 0.0141\n",
      "Epoch 26/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0424 - val_loss: 0.0134\n",
      "Epoch 27/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0429 - val_loss: 0.0150\n",
      "Epoch 28/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0386 - val_loss: 0.0148\n",
      "Epoch 29/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0420 - val_loss: 0.0130\n",
      "Epoch 30/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0408 - val_loss: 0.0130\n",
      "Epoch 31/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0314 - val_loss: 0.0131\n",
      "Epoch 32/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0374 - val_loss: 0.0137\n",
      "Epoch 33/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0342 - val_loss: 0.0137\n",
      "Epoch 34/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0338 - val_loss: 0.0132\n",
      "Epoch 35/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0329 - val_loss: 0.0129\n",
      "Epoch 36/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0354 - val_loss: 0.0133\n",
      "Epoch 37/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0291 - val_loss: 0.0129\n",
      "Epoch 38/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0333 - val_loss: 0.0128\n",
      "Epoch 39/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0343 - val_loss: 0.0128\n",
      "Epoch 40/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0325 - val_loss: 0.0125\n",
      "Epoch 41/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0303 - val_loss: 0.0126\n",
      "Epoch 42/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0289 - val_loss: 0.0122\n",
      "Epoch 43/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0293 - val_loss: 0.0130\n",
      "Epoch 44/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0320 - val_loss: 0.0126\n",
      "Epoch 45/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0311 - val_loss: 0.0119\n",
      "Epoch 46/200\n",
      "160/160 [==============================] - 0s 440us/sample - loss: 0.0296 - val_loss: 0.0121\n",
      "Epoch 47/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0308 - val_loss: 0.0137\n",
      "Epoch 48/200\n",
      "160/160 [==============================] - 0s 488us/sample - loss: 0.0282 - val_loss: 0.0141\n",
      "Epoch 49/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0317 - val_loss: 0.0129\n",
      "Epoch 50/200\n",
      "160/160 [==============================] - 0s 488us/sample - loss: 0.0289 - val_loss: 0.0125\n",
      "Epoch 51/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0300 - val_loss: 0.0134\n",
      "Epoch 52/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0257 - val_loss: 0.0137\n",
      "Epoch 53/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0290 - val_loss: 0.0130\n",
      "Epoch 54/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0277 - val_loss: 0.0134\n",
      "Epoch 55/200\n",
      "160/160 [==============================] - 0s 488us/sample - loss: 0.0257 - val_loss: 0.0130\n",
      "Epoch 56/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0303 - val_loss: 0.0135\n",
      "Epoch 57/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0241 - val_loss: 0.0136\n",
      "Epoch 58/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0270 - val_loss: 0.0137\n",
      "Epoch 59/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0266 - val_loss: 0.0139\n",
      "Epoch 60/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0273 - val_loss: 0.0141\n",
      "Epoch 61/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0297 - val_loss: 0.0133\n",
      "Epoch 62/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0253 - val_loss: 0.0130\n",
      "Epoch 63/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0271 - val_loss: 0.0132\n",
      "Epoch 64/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0250 - val_loss: 0.0137\n",
      "Epoch 65/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0288 - val_loss: 0.0137\n",
      "Epoch 66/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0270 - val_loss: 0.0148\n",
      "Epoch 67/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0268 - val_loss: 0.0156\n",
      "Epoch 68/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0252 - val_loss: 0.0152\n",
      "Epoch 69/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0246 - val_loss: 0.0145\n",
      "Epoch 70/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0263 - val_loss: 0.0145\n",
      "Epoch 71/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0243 - val_loss: 0.0151\n",
      "Epoch 72/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0319 - val_loss: 0.0146\n",
      "Epoch 73/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0248 - val_loss: 0.0145\n",
      "Epoch 74/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0276 - val_loss: 0.0146\n",
      "Epoch 75/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0271 - val_loss: 0.0143\n",
      "Epoch 76/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0290 - val_loss: 0.0141\n",
      "Epoch 77/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0283 - val_loss: 0.0150\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 78/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0282 - val_loss: 0.0146\n",
      "Epoch 79/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0259 - val_loss: 0.0144\n",
      "Epoch 80/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0264 - val_loss: 0.0143\n",
      "Epoch 81/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0233 - val_loss: 0.0149\n",
      "Epoch 82/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0236 - val_loss: 0.0161\n",
      "Epoch 83/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0281 - val_loss: 0.0155\n",
      "Epoch 84/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0249 - val_loss: 0.0155\n",
      "Epoch 85/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0263 - val_loss: 0.0159\n",
      "Epoch 86/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0255 - val_loss: 0.0163\n",
      "Epoch 87/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0267 - val_loss: 0.0165\n",
      "Epoch 88/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0262 - val_loss: 0.0161\n",
      "Epoch 89/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0261 - val_loss: 0.0159\n",
      "Epoch 90/200\n",
      "160/160 [==============================] - 0s 463us/sample - loss: 0.0277 - val_loss: 0.0162\n",
      "Epoch 91/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0242 - val_loss: 0.0160\n",
      "Epoch 92/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0258 - val_loss: 0.0158\n",
      "Epoch 93/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0254 - val_loss: 0.0161\n",
      "Epoch 94/200\n",
      "160/160 [==============================] - 0s 439us/sample - loss: 0.0251 - val_loss: 0.0153\n",
      "Epoch 95/200\n",
      "160/160 [==============================] - 0s 464us/sample - loss: 0.0262 - val_loss: 0.0152\n",
      "Epoch 00095: early stopping\n",
      "score: 0.9341980565043463\n",
      "rmse: 0.0704368233668527\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_9\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "lstm_9 (LSTM)                (None, 64)                21248     \n",
      "_________________________________________________________________\n",
      "dense_18 (Dense)             (None, 64)                4160      \n",
      "_________________________________________________________________\n",
      "dropout_9 (Dropout)          (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_19 (Dense)             (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 25,473\n",
      "Trainable params: 25,473\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from tensorflow.keras.models import Sequential,load_model\n",
    "from tensorflow.keras.layers import Dense,LSTM,Dropout\n",
    "from tensorflow.keras.callbacks import EarlyStopping\n",
    "from tensorflow.keras import optimizers,metrics\n",
    "from tensorflow import keras\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "def read_data():\n",
    "    file_dir = './data/train_data.csv'\n",
    "    all_data_frame = pd.read_csv(file_dir)\n",
    "    all_data_frame = all_data_frame[all_data_frame['ycsb']=='202106150038GF']\n",
    "    return all_data_frame\n",
    "\n",
    "def one_hot(data):\n",
    "    result = pd.get_dummies(data['weather'], sparse=True)\n",
    "    return result\n",
    "\n",
    "def scale(all_data_df):\n",
    "    selected_features = ['hour', 'gfrl','cur_a','cur_b','cur_c','vol_a','vol_b','vol_c','p','szgl','low_tp', 'high_tp', 'avg_tp', 'wind']\n",
    "    scaled_data = all_data_df[selected_features]\n",
    "    scaler = MinMaxScaler()\n",
    "    scaled_data = pd.DataFrame(scaler.fit_transform(scaled_data),columns=scaled_data.keys())\n",
    "    return scaled_data\n",
    "\n",
    "def inverse_scale(scaler,res):\n",
    "    pre_res  =scaler.inverse_transform(res)\n",
    "    return pre_res\n",
    "\n",
    "def slice_window(x_train,y_train,step):\n",
    "    X,y=[],[] \n",
    "    for i in range(0,len(x_train)-step,1): \n",
    "        end = i + step\n",
    "        oneX = x_train[i:end,:]\n",
    "        oney = y_train[end]\n",
    "        X.append(oneX)\n",
    "        y.append(oney)\n",
    "    return np.array(X),np.array(y)\n",
    "\n",
    "def data_transform(onehot_data,scale_data,all_data_df):\n",
    "    #充值索引，合并数据\n",
    "    onehot_data = onehot_data.reset_index()\n",
    "    scale_data = scale_data.reset_index()\n",
    "    merge_data = pd.concat([onehot_data,scale_data], axis=1)\n",
    "    X_train = merge_data.drop('index',axis=1)\n",
    "    y = all_data_df['fdgl']\n",
    "    features = list(X_train.columns)\n",
    "    #slice_window\n",
    "    step = 6\n",
    "    x_y = slice_window(np.array(X_train),np.array(y),step)\n",
    "    X_train, y = x_y[0], x_y[1]\n",
    "    \n",
    "    \n",
    "    #分割验证集\n",
    "    X_train,X_test,y_train,y_test=train_test_split(X_train,y,test_size=0.2, random_state=333)\n",
    "    \n",
    "    return [X_train,X_test,y_train,y_test,features]\n",
    "\n",
    "def build_model(input_shape):\n",
    "    #模型结构\n",
    "    model = Sequential()\n",
    "    model.add(LSTM(64,activation='tanh', input_shape=(input_shape[0], input_shape[1])))\n",
    "    model.add(Dense(64,activation='relu'))\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(Dense(1,activation='relu'))\n",
    "    return model\n",
    "\n",
    "def train_model(train_val_data):\n",
    "    #获取数据\n",
    "    X_train,X_test,y_train,y_test = train_val_data[0],train_val_data[1],train_val_data[2],train_val_data[3]\n",
    "    print(X_train.shape,y_train.shape)\n",
    "    #超参数\n",
    "    time_step = X_train.shape[1]\n",
    "    feature_nums = X_train.shape[2]\n",
    "    epochs=200\n",
    "    batch_size=16\n",
    "    patience=50\n",
    "    \n",
    "    #获取模型\n",
    "    model = build_model([time_step,feature_nums])\n",
    "\n",
    "    #优化器\n",
    "    adam = optimizers.Adam(learning_rate = 0.0001)\n",
    "    #adam = optimizers.SGD(learning_rate = 0.001,momentum=0.2)\n",
    "\n",
    "    #损失函数\n",
    "    model.compile(loss='mse', optimizer=adam)\n",
    "\n",
    "    #early_stop\n",
    "    early_stopping = EarlyStopping(monitor='val_loss', patience=patience, verbose=1)\n",
    "    \n",
    "    #超参数\n",
    "    history = model.fit(X_train, y_train, \n",
    "                        epochs=epochs,\n",
    "                        batch_size=batch_size,\n",
    "                        validation_split=0.2,\n",
    "                        verbose=1,\n",
    "                        callbacks=[early_stopping], \n",
    "                        shuffle=False)\n",
    "    \n",
    "    y_test_pred = model.predict(X_test)\n",
    "    rmse = mean_squared_error(y_test, y_test_pred) ** 0.5\n",
    "    score=1.0/(1.0+rmse)\n",
    "    print('score:',score)\n",
    "    print('rmse:',rmse)\n",
    "    model.save('./model/lstm_user')\n",
    "    draw(history)\n",
    "    print(model.summary())\n",
    "    return [y_test,y_test_pred]\n",
    "\n",
    "def draw(history):\n",
    "    from matplotlib import pyplot\n",
    "    pyplot.plot(history.history['loss'], label='train')\n",
    "    pyplot.plot(history.history['val_loss'], label='test')\n",
    "    pyplot.legend()\n",
    "    pyplot.show()\n",
    "    \n",
    "\n",
    "if __name__=='__main__':\n",
    "    #读取原数据\n",
    "    all_data_df = read_data()\n",
    "    #非数值数据onehot处理\n",
    "    onehot_data = one_hot(all_data_df)\n",
    "    #数值数据归一化处理\n",
    "    scale_data = scale(all_data_df)\n",
    "    #拼接，shape转换，分割\n",
    "    train_val_data = data_transform(onehot_data,scale_data,all_data_df)\n",
    "    #训练模型\n",
    "    res = train_model(train_val_data)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#预测结果和真实值\n",
    "from matplotlib import pyplot\n",
    "pyplot.figure(figsize=(50,10))\n",
    "pyplot.plot(res[0], label='u1_real',linestyle='--')\n",
    "pyplot.plot(res[1], label='u1_pre',linestyle='-')\n",
    "\n",
    "pyplot.rcParams.update({'font.size': 20})\n",
    "pyplot.legend()\n",
    "pyplot.show()"
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